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Sukrit Leelaluk

Profile

Self-Introduction

photo
Name Sukrit Leelaluk
Course Doctor Course (D3)
Organization Name Graduate School and Faculty of Information Science and Electrical Engineering

Academic Background

March, 2012 Graduation from Wat phrasrimahadhat secondary demonstration school (Thailand)
May, 2012 Enroll in Faculty of Engineering, Silpakorn University (Thailand)
August, 2016 Graduation from Faculty of Engineering, Silpakorn University (Thailand)
January, 2017 Enroll in Unitas Japanese language school (Japan)
March, 2018 Graduation from Unitas Japanese language school (Japan)
April, 2018 Enroll in the Kyoto College of Graduate Studies for Informatics (Japan)
March, 2020 Graduation from the Kyoto College of Graduate Studies for Informatics (Japan)
April, 2021 Enroll in Graduate School and Faculty of Information Science and Electrical Engineering, Kyushu University as research student (Japan)
October, 2021 Start PhD. course in Graduate School and Faculty of Information Science and Electrical Engineering, Kyushu University (Japan)

Research

Publications

International Conferences (Peer-reviewed)

  1. Shuaileng Yuan, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada
    A Deep learning Grade Prediction Model of Online Learning Performance Based on knowledge learning representation
    The 6th Workshop on Predicting Performance Based on the Analysis of Reading Behavior (LAK24 Data Challenge), 2024.03
    BibTeX
  2. Abdul Berr, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada
    Educational Data Analysis using Generative AI
    The 6th Workshop on Predicting Performance Based on the Analysis of Reading Behavior (LAK24 Data Challenge), 2024.03
    BibTeX
  3. Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada
    LSTM with Attention Mechanism for Students’ Performance Prediction Based on Reading Behavior
    The 5th Workshop on Predicting Performance Based on the Analysis of Reading Behavior (LAK23 Data Challenge), 2023.03
    BibTeX
  4. Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada
    Scaled-Dot Product Attention for Early Detection of At-Risk Students
    IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE2022), pp.316-322, 2022.12
    BibTeX
  5. Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
    Predicting student performance based on Lecture Materials data using Neural Network Models
    The 4th Workshop on Predicting Performance Based on the Analysis of Reading Behavior (LAK22 Data Challenge), 2022.03
    BibTeX